Professor Nagi Gebraeel is the Georgia Power Early Career Professor and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He received his MS and PhD from Purdue University in 1998 and 2003, respectively.

Dr. Gebraeel's research interests lie at the intersection of Predictive Analytics and Machine Learning in IoT enabled maintenance, repair and operations (MRO) and service logistics. His key focus is on developing fundamental statistical learning algorithms specifically tailored for real-time equipment diagnostics and prognostics, and optimization models for subsequent operational and logistical decision-making in IoT ecosystems. Dr. Gebraeel also develops cyber-security algorithms intended to protect IoT-enabled critical assets from ICS-type cyberattacks (cyberattacks that target Industrial Control Systems). From the standpoint of application domains, Dr. Gebraeel has general interests in manufacturing, power generation, and service-type industries. Applications in Deep Space missions are a recent addition to his research interests, specifically, developing Self-Aware Deep Space Habitats through NASA's HOME Space Technology Research Institute.

Dr. Gebraeel leads Predictive Analytics and Intelligent Systems (PAIS) research group at Georgia Tech's Supply Chain and Logistics Institute. He also directs activities and testing at the Analytics and Prognostics Systems laboratory at Georgia Tech's Manufacturing Institute. Formerly, Dr. Gebraeel served as an associate director at Georgia Tech's Strategic Energy Institute (from 2014 until 2019) where he was responsible for identifying and promoting research initiatives and thought-leadership at the intersection of Data Science and Energy applications. He was also the former president of the Institute of Industrial and Systems Engineers (IISE) Quality and Reliability Engineering Division, and is currently a member of the Institute for Operations Research and the Management Sciences (INFORMS), and IISE (since 2005).

Dr. Mayor is a distinguished expert in thermal sciences, electro-mechanical machine design, and micro-manufacturing. As the inventor of the DwHX cooling technology for electric machines, he specializes in the research and development of advanced power electronics cooling, electric machine design, micro-power generation, and sustainable energy systems. Alongside his technical pursuits, Dr. Mayor has a rich entrepreneurial backdrop, having navigated product-oriented tech startups and led multiple advanced research and development programs. His expertise is sought in IP litigation, where he serves as a technical authority. 

He has presented keynotes and seminars on diverse topics, from micro-manufacturing and electric machines to energy systems. He teaches courses in mechanical engineering courses at Georgia Tech, including machine design, manufacturing processes, design thinking and internal combustion engines, including H2ICE, and has taught courses as a visiting lecturer in China, France, Saudi Arabia, and South Africa. He has a substantial academic contribution with over 120 publications in leading archival journals and conferences and is a member of ASME and IEEE and SME. 

Dr. Mayor's commitment goes beyond teaching and research as he engages in service as the Secretary of the Faculty. He strives to build on the learnings from the pandemic to expand the resourcefulness, understanding, and trust in shared governance. Moreover, Dr. Mayor serves as the faculty advisor for the Student Competition Center, further highlighting his commitment to student mentoring and leadership development. He looks forward to implementing AI in a robust manner in institute learnings, as a core capability in education.

Zhiqun Lin is currently Professor of Materials Science and Engineering at the Georgia Institute of Technology. His research focuses on nanostructured functional materials (NanoFM). An extensive list of materials currently under investigation in his group includes polymer-based nanocomposites, block copolymers, polymer blends, conjugated polymers, quantum dots (rods, tetrapods, wires), magnetic nanocrystals, metallic nanocrystals, semiconductor metal oxide nanocrystals, ferroelectric nanocrystals, multiferroic nanocrystals, upconversion nanocrystals, thermoelectric nancrystals, core/shell nanoparticles (nanorods), hollow nanocrystals, Janus nanocrystals, nanopores, nanotubes, hierarchically structured and assembled materials, and semiconductor organic-inorganic nanohybrids.

The goal of his research is to understand the fundamentals of these nanostructured materials. His group intends to create these nanostructures in a precisely controllable manner and to exploit the structure-property relationships in the development of multifunctional materials for potential use in energy conversion (e.g., solar cells, photocatalysis, and hydrogen generation) and storage (e.g., batteries), electronics, optics, optoelectronics, magnetic materials and devices, nanotechnology, and biotechnology.

Dr. Glezer began at Tech in 1992 as an Associate Professor. He was named to the Woodruff Chair in Thermal Systems in 2002. Prior, he was an Assistant and Associate Professor at the University of Arizona.

Aarn Stebner works at the intersection of manufacturing, machine learning, materials, and mechanics. He joined the Georgia Tech faculty as an associate professor of Mechanical Engineering and Materials Science and Engineering in 2020.

Previously, he was the Rowlinson Associate Professor of Mechanical Engineering and Materials Science at the Colorado School of Mines (2013 – 2020), a postdoctoral scholar at the Graduate Aerospace Laboratories of the California Institute of Technology (2012 – 2013), a Lecturer in the Segal Design Institute at Northwestern University (2009 – 2012), a Research Scientist at Telezygology Inc. establishing manufacturing and “internet of things” technologies for shape memory alloy-secured latching devices (2008-2009), a Research Fellow at the NASA Glenn Research Center developing smart materials technologies for morphing aircraft structures (2006 – 2008), and a Mechanical Engineer at the Electric Device Corporation in Canfield, OH developing manufacturing and automation technologies for the circuit breaker industry (1995 – 2000).

Richard Fujimoto is a Regents’ Professor, Emeritus in the School of Computational Science and Engineering at the Georgia Institute of Technology. He received the Ph.D. degree from the University of California-Berkeley in 1983 in Computer Science and Electrical Engineering. He also received an M.S. degree from the same institution as well as two B.S. degrees from the University of Illinois-Urbana. 

Fujimoto is a pioneer in the parallel and distributed discrete event simulation field. Discrete event simulation is widely used in areas such as telecommunications, transportation, manufacturing, and defense, among others. His work developed fundamental understandings of synchronization algorithms that are needed to ensure the correct execution of discrete event simulation programs on high performance computing (HPC) platforms. His team developed many new algorithms and computational techniques to accelerate the execution of discrete event simulations and developed software realizations that impacted several application domains. For example, his Georgia Tech Time Warp software was deployed by MITRE Corp. to create online fast-time simulations of commercial air traffic to help reduce delays in the U.S. National Airspace. An active researcher in this field since 1985, he authored or co-authored three books and hundreds of technical papers including seven that were cited for “best paper” awards or other recognitions. His research included several projects with Georgia Tech faculty in telecommunications, transportation, sustainability, and materials leading to numerous publications co-authored with faculty across campus.

Dr. Jianjun Shi is the Carolyn J. Stewart Chair and Professor in H. Milton Stewart School of Industrial and Systems Engineering, with joint appointment in the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology. Prior to joining Georgia Tech in 2008, he was the G. Lawton and Louise G. Johnson Professor of Engineering at the University of Michigan. He received his B.S. and M.S. in Electrical Engineering from the Beijing Institute of Technology in 1984 and 1987, and his Ph.D. in Mechanical Engineering from the University of Michigan in 1992. Dr. Shi is a pioneer in the development and application of data fusion for quality improvements. His methodologies integrate system informatics, advanced statistics, and control theory for the design and operational improvements of manufacturing and service systems by fusing engineering systems models with data science methods. He has produced 40 Ph.D. graduates, 27 of which have joined IE department as faculty members. Among them, 7 have received NSF CAREER Awards and one has received the NSF PECASE award. He has published one book and more than 180 papers. He has served as PI and co-PI for projects totaling more than 25 million dollars, which were funded by National Science Foundation, NIST Advanced Technology Program, Department of Energy, General Motors, Daimler-Chrysler, Ford, Boeing, Lockheed-Martin, Honeywell, Pfizer, Samsung, and various other industrial companies and funding agencies. The technologies developed in Dr. Shi’s research group have been widely implemented in various production systems with significant economic impacts. 

Dr. Shi is the founding chair of the Quality, Statistics and Reliability (QSR) Subdivision at the Institute for Operations Research and Management Science (INFORMS). He has served as the Editor-in-Chief of the IISE Transactions (2017-2020), the flagship journal of the Institute of Industrial and Systems Engineers. He also served as the Focus Issue Editor of IISE Transactions on Quality and Reliability Engineering (2007-2017), editor of Journal of System Science and Complexity, and advisory editor of Journal of Quality Technology and Quantitative Management (QTQM). He is a Fellow of American Society of Mechanical Engineering (ASME), a Fellow of the Institute of Industrial and Systems Engineering (IISE), a Fellow of Institute of Operations Research and the Management Science (INFORMS), a Fellow of Society of Manufacturing Engineering (SME), an Academician of the International Academy for Quality, and a member of National Academy of Engineering (NAE) of the USA. 

Dr. Shi received various awards for his research and teaching, including the George Box Medal (2022), ASQ Walter Shewhart Medal (2021), The S. M. Wu Research Implementation Award (2021), ASQ Brumbaugh Award (2019), The Horace Pops Medal Award (2018), IISE David F. Baker Distinguished Research Award (2016), the IIE Albert G. Holzman Distinguished Educator Award (2011), Forging Achievement Award from Forging Industry Educational and Research Foundation (2007), Monroe-Brown Foundation Research Excellence Award (2007), the 1938E Award (1998) at The University of Michigan, and NSF CAREER Award (1996).

Wang's research is in the areas of design, manufacturing, and Integrated computational materials engineering. He is interested in computer-aided design, geometric modeling and processing, computer-aided manufacturing, multiscale simulation, and uncertainty quantification.

Currently, Wang studies integrated product-materials design and manufacturing process design, where process-structure-property relationships are established with physics-based data-driven approaches for design optimization. The Multiscale Systems Engineering research group led by him develops new methodologies and computational schemes to solve the technical challenges of high dimensionality, high complexity, and uncertainty associated with product, process, and systems design at multiple length and time scales.

Computational design tools for multiscale systems with sizes ranging from nanometers to kilometers will be indispensable for engineers' daily work in the near future. The research mission of the Multiscale Systems Engineering group is to create new modeling and simulation mechanisms and tools with underlying scientific rigor that are suitable for multiscale systems engineering for better and faster product innovation. Our education mission is to train engineers of the future to gain necessary knowledge as well as analytical, computational, communication, and self-learning skills for future work in a collaborative environment as knowledge creators and integrators. 

Steven P. French is professor of City and Regional Planning at Georgia Institute of Technology. He joined Georgia Tech in 1992 as the director of the City Planning program and served in that position until August 1999. He was the director of the Center for Geographic Information Systems from 1997 through 2011. He served as associate dean for research for the College of Architecture (now the College of Design) from July 2009 through June 2013 and dean of the College of Design from July 2013-June 2021.

French’s teaching and research activities focus on sustainable urban development, land use planning, GIS applications, and natural hazard risk assessment. In addition to his administrative assignments, Professor French has regularly taught graduate courses in land use, planning, and GIS. He has graduated six Ph.D. students and advised more than 50 Masters students in City and Regional Planning. He has also served on numerous dissertation committees in Architecture, Civil Engineering, and Public Policy.

Over the past twenty-five years, French has been the principal investigator or co-principal investigator on more than seventy research projects. He has participated in a number of National Science Foundation projects dealing with flood and earthquake hazards and was the Social Science Thrust Leader for the Mid-America Earthquake Center, an NSF Engineering Research Center. He has extensive experience in building and managing multidisciplinary teams of social scientists, architects, engineers, and scientists. French is the author or co-author of more than 25 refereed journal articles and four books. He has served on the editorial boards of the Journal of the American Planning Association, Journal of Planning Education and Research, Journal of the Urban and Regional Information Systems Association and Earthquake Spectra.

French holds a Ph.D. in City and Regional Planning from the University of North Carolina at Chapel Hill. Before coming to Georgia Tech, he taught for ten years at California Polytechnic State University-San Luis Obispo. In 1987-88, he served as the visiting professor of resources planning in the Civil Engineering Department at Stanford University. He is a Fellow of the American Institute of Certified Planners and an associate member of the American Institute of Architects.